Showing 4 open source projects for "process"

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    Bayesian Optimization

    Bayesian Optimization

    Python implementation of global optimization with gaussian processes

    This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder.
    Downloads: 0 This Week
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  • 2
    Segmentation Models

    Segmentation Models

    Segmentation models with pretrained backbones. PyTorch

    ...Pytorch Image Models (a.k.a. timm) has a lot of pretrained models and interface which allows using these models as encoders in smp, however, not all models are supported. Input channels parameter allows you to create models, which process tensors with an arbitrary number of channels.
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  • 3
    nemosomen is a framework for designing open source, network based, multimedia (video/openGL/sound/MIDI) realtime toys a suite of tools for distributed development, processing of media. It tries to shift most of the working process in realtime processes.
    Downloads: 0 This Week
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  • 4
    Real Subtitler eases the process of creating subtitles for Real Video files. It allows to insert begin and end time while watching the film. It generates RealText (*.rt)file as well as the SMIL descriptor.
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